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題名 Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization
作者 Chen, S.-H.;Kambayashi, Y.;Sato, H.
貢獻者 經濟系
日期 2010
上傳時間 21-May-2015 15:10:57 (UTC+8)
摘要 From a historical viewpoint, the development of multi-agent systems demonstrates how computer science has become more social, and how the social sciences have become more computational. With this development of cross-fertilization, our understanding of multi-agent systems may become partial if we only focus on computer science or only focus on the social sciences. This book with its 17 chapters intends to give a balanced sketch of the research frontiers of multi-agent systems. We trace the origins of the idea, a biologically-inspired approach to multi-agent systems, to John von Neumann, and then continue his legacy in this volume.
關聯 Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization, Pages xvi-xxvii Editorial
資料類型 book/chapter
DOI http://dx.doi.org/10.4018/978-1-60566-898-7
dc.contributor 經濟系
dc.creator (作者) Chen, S.-H.;Kambayashi, Y.;Sato, H.
dc.date (日期) 2010
dc.date.accessioned 21-May-2015 15:10:57 (UTC+8)-
dc.date.available 21-May-2015 15:10:57 (UTC+8)-
dc.date.issued (上傳時間) 21-May-2015 15:10:57 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75213-
dc.description.abstract (摘要) From a historical viewpoint, the development of multi-agent systems demonstrates how computer science has become more social, and how the social sciences have become more computational. With this development of cross-fertilization, our understanding of multi-agent systems may become partial if we only focus on computer science or only focus on the social sciences. This book with its 17 chapters intends to give a balanced sketch of the research frontiers of multi-agent systems. We trace the origins of the idea, a biologically-inspired approach to multi-agent systems, to John von Neumann, and then continue his legacy in this volume.
dc.format.extent 176 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization, Pages xvi-xxvii Editorial
dc.title (題名) Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization
dc.type (資料類型) book/chapteren
dc.identifier.doi (DOI) 10.4018/978-1-60566-898-7
dc.doi.uri (DOI) http://dx.doi.org/10.4018/978-1-60566-898-7